Identification of Landslide Risks in the Subtropical Hilly Regions of Southern China Using Integrated Multi-Source Synthetic Aperture Radar Interferometry and Machine Learning
The subtropical hilly regions of southern China are characterized by dense vegetation and highly concealed landslides, making it difficult for traditional, single-source remote sensing methods to meet disaster prevention needs. The core scientific contribution of this study is the development of a hierarchical, progres...